42 citations · 96 across the 12 of their papers we have counts for
5 papers · 1 filter
Mojo: MLIR-Based Performance-Portable HPC Science Kernels on GPUs for the Python Ecosystem
William F. Godoy, Tatiana Melnichenko, Pedro Valero-Lara +5
We explore the performance and portability of the novel Mojo language for scientific computing workloads on GPUs. As the first language based on the LLVM's Multi-Level Intermediate…
Julia as a unifying end-to-end workflow language on the Frontier exascale system
William F. Godoy, Pedro Valero-Lara, Caira Anderson +4
We evaluate Julia as a single language and ecosystem paradigm powered by LLVM to develop workflow components for high-performance computing. We run a Gray-Scott, 2-variable diffusi…
Evaluating performance and portability of high-level programming models: Julia, Python/Numba, and Kokkos on exascale nodes
William F. Godoy, Pedro Valero-Lara, T. Elise Dettling +7
We explore the performance and portability of the high-level programming models: the LLVM-based Julia and Python/Numba, and Kokkos on high-performance computing (HPC) nodes: AMD Ep…
cuConv: A CUDA Implementation of Convolution for CNN Inference
Marc Jordà, Pedro Valero-Lara, Antonio J. Peña
Convolutions are the core operation of deep learning applications based on Convolutional Neural Networks (CNNs). Current GPU architectures are highly efficient for training and dep…
MPI+OpenMP Tasking Scalability for Multi-Morphology Simulations of the Human Brain
Pedro Valero-Lara, Raül Sirvent, Antonio J. Peña +1
The simulation of the behavior of the human brain is one of the most ambitious challenges today with a non-end of important applications. We can find many different initiatives in…